The ISSUP activities funded by the U.S. Department of State are temporarily suspended.
This website will remain live, but ISSUP is not currently monitoring or updating it. No new membership applications will be accepted or reviewed, no posts or comments will be possible, and members cannot login.
This information will be updated with any change in circumstances. Thank you for your understanding.

Rasha Abi Hana

PhD Student Position in Implementation Science

Shared by Rasha Abi Hana -
Originally posted by Rasha Abi Hana -

The research group of Prof Lauren Clack Implementation Science in Health Care offers a PhD position in the implementation science work package of an EU Horizon 2020 framework project, in the area of infection prevention.

Responsibilities

  • Manage diverse project activities.
  • Coordinate project stakeholders.
  • Collect and analyse qualitative (e.g. observations, semi-structured interviews) and quantitative (e.g. questionnaire) data in the above-mentioned project.
  • Travel to European institutions.
  • Conduct literature reviews and synthesise scientific content.
  • Disseminate research results through presentations at conferences and publications in peer reviewed journals.
  • Supervise and support undergraduate students.
  • Complete scientific qualifications for PhD.
  • Participate in the PhD program Clinical Science.

Profile

  • Master or equivalent degree in implementation science, health services research, public health, psychology, sociology, health economics, behavioural science, or related fields. MD-PhD candidates will be considered.
  • Strong interest in keeping up with emerging trends and best practices in Implementation Science.
  • Highly motivated to advance the new and quickly growing research group.
  • Strong planning and organisational skills, excellent oral and written communication and effective inter-professional skills.
  • Fluent in English and German.
  • Self-motivated and comfortable taking initiative.
  • Sound knowledge of empirical methods and advanced statistics.
  • Excellent computer application knowledge (MS Office, SPSS, R).